Generation of random distribution of fibres in long-fibre reinforced composites

By A. Melro, Pedro P. Camanho, S. Pinho. 2008

379 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/11e86692e8a6bcbd012a79a220d00d4818ccabb3

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In Civil and Structural Engineering

In Mechanics of Materials

Citations in the corpus

Micro-mechanical analysis of the in situ effect in polymer composite laminates (2014, background): “This spatial arrangement is usually not periodic and is highly dependent upon the manufacturing process [55].”
Computational micromechanics of the transverse and shear behavior of unidirectional fiber reinforced polymers including environmental effects (2017, methodology): “To this end, 65 several strategies are available in the literature [12, 18, 19] being the Random Sequential Adsorp66 tion (RSA) algorithm [11], probably, the most popular due to the easiness to achieve large volume 67”
A combined experimental–numerical approach for generating statistically equivalent fibre distributions for high strength laminated composite materials (2010, methodology): “4 Volume Fraction Unlike other similar algorithms [8-9], the volume fraction of the numerically generated microstructures is not predefined.”
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality (2017, background): “5(a) and (b) it is clear that the microstructures with higher volume fraction lead to a higher uncertainty, which is also expected [43,104,105].”
STATISTICAL ANALYSIS OF REAL AND SIMULATED FIBRE ARRANGEMENTS IN UNIDIRECTIONAL COMPOSITES (2013, methodology): “A MatLab code, provided by the authors of [28], was used in the present work with the following modification.”
Three-dimensional invariant-based failure criteria for fibre-reinforced composites (2015, methodology): “This RVE contains a random distribution of435 reinforcements generated by a specifically developed algorithm for the effect436 (Melro et al., 2008).”
Generation of 3D representative volume elements for heterogeneous materials: A review (2018, neutral): “This can be overcome by initially placing fibers using random sequential adsorption and then heuristically stirring the fibers in two steps [399].”